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Byung Jun Kang
Researcher at Hyundai Mobis
Publications - 32
Citations - 1022
Byung Jun Kang is an academic researcher from Hyundai Mobis. The author has contributed to research in topics: Iris recognition & Iris (anatomy). The author has an hindex of 17, co-authored 32 publications receiving 982 citations. Previous affiliations of Byung Jun Kang include Electronics and Telecommunications Research Institute & Hanyang University.
Papers
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Journal ArticleDOI
A new iris segmentation method for non-ideal iris images
Dae Sik Jeong,Jae Won Hwang,Byung Jun Kang,Kang Ryoung Park,Chee Sun Won,Dong-Kwon Park,Jaihie Kim +6 more
TL;DR: A new iris segmentation method that can be used to accurately extract iris regions from non-ideal quality iris images and uses a color segmentation technique for detecting obstructions by the ghosting effects of visible light is proposed.
Journal ArticleDOI
A robust eyelash detection based on iris focus assessment
Byung Jun Kang,Kang Ryoung Park +1 more
TL;DR: Because eyelash detection was performed based on focus assessment, its performance was not affected by image blurring and its accuracy was greatly enhanced, which shows three advantages over previous works.
Journal ArticleDOI
Real-Time Image Restoration for Iris Recognition Systems
Byung Jun Kang,Kang Ryoung Park +1 more
TL;DR: A new real-time iris image-restoration method, which can increase the camera's depth-of-field (DOF) areas without requiring any additional hardware and shows that iris recognition errors when using the proposed restoration method were greatly reduced.
Journal ArticleDOI
New iris recognition method for noisy iris images
Kwang Yong Shin,Gi Pyo Nam,Dae Sik Jeong,Dal Ho Cho,Byung Jun Kang,Kang Ryoung Park,Jaihie Kim +6 more
TL;DR: This research proposes a new iris recognition algorithm for noisy iris images which discriminates the ''left or right eye'' on the basis of the eyelash distribution and SR points, and increases the separability between intra- and inter-classes.
Book ChapterDOI
A study on iris image restoration
Byung Jun Kang,Kang Ryoung Park +1 more
TL;DR: Experimental results show that the total recognition time of iris image restoration is reduced as much as 390ms on average with the proposed restoration algorithm.